https://github.com/filipbasara0/simple-clip
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Visual Reasoning
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- 보존된 평가 기록
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Ability to understand actions and reasoning associated with any visual images
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fuqianya/ViLBERT-Paddle
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/gchaperon/neural-state-machine
https://github.com/gchhablani/multilingual-vqa
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://github.com/ghazaleh-mahmoodi/lxmert_compression
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
https://github.com/giantseaweed/decree
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/glamor-usc/climb
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
https://github.com/gorjanradevski/vsepp_tensorflow
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/gregor-ge/mblip
https://github.com/gudovskiy/fridge-demo
https://github.com/guilk/vlc
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
https://github.com/huggingface/transformers
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
https://github.com/hwanheelee1993/vilbertscore
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/ibm/gcog
A Dataset and Architecture for Visual Reasoning with a Working Memory
https://github.com/iejMac/ScriptWriter
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/iflytek/vle
An Empirical Study of Training End-to-End Vision-and-Language Transformers
https://github.com/ihaeyong/unbiased-sgg
Learning to Compose Dynamic Tree Structures for Visual Contexts
https://github.com/itsShnik/adaptively-finetuning-transformers
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
https://github.com/itsvaibhav01/Immune
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
https://github.com/ivegner/Multi-Memory-MAC-Network
https://github.com/jhaprince/multibully
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/jialinwu17/tmpimgs
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/jianguanthu/amor
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
https://github.com/jianjieluo/openai-clip-feature
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
https://github.com/jiasenlu/vilbert_beta
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/jielin-qiu/mm_robustness
Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift
https://github.com/jiwanchung/vlis
https://github.com/jjgo/hyperlight
https://github.com/john-ai-lab/noisyrollout
NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
https://github.com/johntiger1/multitask_multimodal
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/joyhsu0504/ns3d
https://github.com/jules-samaran/vl-bert
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
https://github.com/juletx/spatial-reasoning
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
https://github.com/junshutang/Make-It-3D
https://github.com/kadarakos/mulisera
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/kakaobrain/rq-vae-transformer
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.